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mcore-split-pr

Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.

Install / Use

npx skills add NVIDIA/skills --skill mcore-split-pr

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

79/100

Supported Platforms

Universal

Our assessment of mcore-split-pr

mcore-split-pr scores 79/100 on our quality scale, 2486th of 3,841 Development & Engineering skills we index.

Its SKILL.md is 4.4 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so mcore-split-pr is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

mcore-split-pr compared with similar skills

All 4 of these similar skills score higher than mcore-split-pr; compare them before choosing.

SkillScoreStarsUpdatedFormat
mcore-split-pr (this skill)by NVIDIA793.4k6d agoSKILL.md
ai-job-searchby MadsLorentzen10044.5ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install mcore-split-pr?
Run npx skills add NVIDIA/skills --skill mcore-split-pr. The install tabs above show the steps for each supported agent.
Which AI agents does mcore-split-pr work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is mcore-split-pr safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcore-split-pr still maintained?
The repository was last updated 6 days ago, so mcore-split-pr is actively maintained.

name: mcore-split-pr description: Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups. license: Apache-2.0 when_to_use: User asks to split a PR, reduce reviewer groups, or break up a large PR; 'too many CODEOWNERS', 'split this PR', 'break up PR', 'reduce reviewers needed'. user_invocable: true argument: "PR URL or number" metadata: author: Philip Petrakian ppetrakian@nvidia.com

Split PR by CODEOWNERS Groups

Split a large pull request into multiple smaller PRs, where each PR touches the fewest possible CODEOWNERS reviewer groups. The goal is to reduce review burden: a PR that only touches megatron/core/ needs only the core reviewers, while a PR that also touches examples/, tools/, and megatron/training/ pulls in many additional groups.

Answer-First Constraints

For split-planning questions, lead with these constraints before the full workflow:

  • Minimize CODEOWNERS reviewer groups per PR, but each resulting PR must still be independently mergeable and reviewable.
  • Tests travel with the production code they validate; do not split tests into a separate PR just to reduce reviewer groups.
  • If PR B depends on symbols renamed in PR A, call out the dependency and put backward-compatible aliases, re-exports, or shims in PR A when needed.
  • Wait for user approval before execution.
  • Execution creates draft PRs from the right base, applies file-scoped diffs with git diff upstream/main..<source-branch> -- <paths> | git apply, pushes to the user's fork, and never pushes directly to upstream.

Workflow

1. Analyze the PR

  1. Fetch the PR details: gh pr view <number> --repo NVIDIA/Megatron-LM --json title,body,headRefName,author and gh pr diff <number> --repo NVIDIA/Megatron-LM --stat. Also determine the current GitHub user with gh api user --jq .login.
  2. Parse .github/CODEOWNERS to build a mapping from file path patterns to owner groups.
  3. For each changed file in the PR, determine which CODEOWNERS groups would be required to review it.
  4. Build a summary table grouped by CODEOWNERS group, showing which files pull in which groups.
  5. Count the total number of distinct reviewer groups the PR currently requires.

2. Propose a split that minimizes reviewer groups per PR

The primary optimization goal: minimize the number of CODEOWNERS reviewer groups required for each resulting PR.

Strategy:

  1. Cluster files by their CODEOWNERS groups. Files owned by the same set of groups naturally belong together.
  2. Identify the largest cluster — this becomes the first (and usually largest) PR.
  3. Remaining files form one or more additional PRs, each ideally requiring only one or two reviewer groups.
  4. If a split creates a dependency (e.g., PR B uses symbols renamed in PR A), the dependent PR must be merged after the first. Note this explicitly.
  5. Each PR must be independently mergeable to main — no broken imports, no missing symbols. Backward-compatible aliases and re-export stubs in the first PR can make this possible.

Present the proposed split as a table:

  • PR name/description
  • Files included
  • CODEOWNERS groups required
  • Dependencies on other PRs (if any)

Wait for user approval before proceeding.

3. Execute the split (after user approval)

For each new PR:

  1. Create a new branch from the appropriate base (main, or a dependency PR's branch).
  2. Extract the relevant changes: git diff upstream/main..<source-branch> -- <file paths> | git apply.
  3. Stage, commit with a clear message, and push to the user's fork.
  4. Create the PR as a draft (per repo contributing guidelines).
  5. If the original PR needs to be narrowed in scope, confirm with the user before force-pushing.
  6. Report all PR URLs when done.

Important guidelines

  • Always create PRs as drafts and push to the user's fork, never directly to upstream.
  • Backward-compatible changes (aliases, re-exports, deprecation shims) should go in the first PR so subsequent PRs can depend on them.
  • Test files should go with the production code they test, not in a separate PR.
  • Prefer a single clean commit per split PR over replaying the original commit history.
  • If a file is hard to categorize (e.g., it touches two groups), ask the user which PR it should go in.
  • If the current GitHub user is not the author of the original PR, each new PR's description must explicitly credit the original author (e.g., "Original changes by @<author> in #<number>").

Related Skills

View on GitHub
GitHub Stars3.4k
CategoryDevelopment
Updated6d ago
Forks412

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions